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Fig. 7 | BMC Medical Research Methodology

Fig. 7

From: Using linear and natural cubic splines, SITAR, and latent trajectory models to characterise nonlinear longitudinal growth trajectories in cohort studies

Fig. 7

Mean BMC growth trajectories by subgroup (latent class) from the selected growth mixture models. Figure shows the mean BMC growth trajectories by subgroup (latent class) from the selected growth mixture models in ALSPAC females (a) and males (b), BMDCS females (c) and males (d), and PBMAS females (e) and males (f). Colours distinguish between latent trajectory subgroups within subplots and should not be used to compare between subplots. Shaded areas around the mean trajectories represent 95% confidence intervals. The numbers in each class are: ALSPAC females (class 1: n = 2337, class 2: n = 531, class 3: n = 1139), ALSPAC males (class 1: n = 1339, class 2: n = 2549), BMDCS females (class 1: n = 101, class 2: n = 93, class 3: n = 294), BMDCS males (class 1: n = 176, class 2: n = 289), PBMAS females (class 1: n = 50, class 2: n = 19, class 3: n = 41, class 4: n = 17), PBMAS males (class 1: n = 42, class 2: n = 40, class 3: n = 30)

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